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N . If the data has a similar distribution as the reference distribution then the qqplot is approximately linear. e. from the associated location-scale family Fµ,σ (x) = F ((x−µ)/σ). Thus, the qq-plot enables us to come up with a suitable class of distributions that fits the data and then we may estimate the location and scale parameters. The qq-plot is particularly useful for studying the tails of the distribution. Given a reference distribution F , if F has heavier tails than the data then the plot will curve down at the left and/or up at the right and the opposite if the reference distribution has too light tails.

E. from the associated location-scale family Fµ,σ (x) = F ((x−µ)/σ). Thus, the qq-plot enables us to come up with a suitable class of distributions that fits the data and then we may estimate the location and scale parameters. The qq-plot is particularly useful for studying the tails of the distribution. Given a reference distribution F , if F has heavier tails than the data then the plot will curve down at the left and/or up at the right and the opposite if the reference distribution has too light tails.